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A Heterogeneous Sampling Strategy to Model Earthquake-Triggered Landslides
Regional modeling of landslide hazards is an essential tool for the assessment and management of risk in mountain environments. Previous studies that...
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A frequency ratio–based sampling strategy for landslide susceptibility assessment
Owing to the difficulties in determining the boundaries of landslides from landslide inventory, landslide samples are often expressed by geometrical...
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Interest of the appropriate sampling strategy and analysis procedure for a representative assessment of the agricultural soil pollution level of the Pb-Zn mining site of Jbel Ressas (NE Tunisia)
The Jbel Ressas site is an ancient Pb-Zn mine located in the northwest of Tunisia. The long activity of the mine has produced a huge volume of waste...
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Exploring class imbalance with under-sampling, over-sampling, and hybrid sampling based on Mahalanobis distance for landslide susceptibility assessment: a case study of the 2018 Iburi earthquake induced landslides in Hokkaido, Japan
This study focuses on evaluating the performance of the resampling approach using under-sampling, over-sampling, and hybrid sampling techniques in...
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Aquatic Sampling
Sample collection is the beginning of the measurement of any aquatic parameter. Careful analyses of these samples were carried out to provide...
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Application of a two-step sampling strategy based on deep neural network for landslide susceptibility map**
The selection of nonlandslide samples is a key issue in landslide susceptibility modeling (LSM). In view of the potential subjectivity and randomness...
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Effectiveness of Newmark-based sampling strategy for coseismic landslide susceptibility map** using deep learning, support vector machine, and logistic regression
Non-landslide samples play a crucial role in landslide susceptibility map** (LSM), although unsuitable sampling methods may degrade the performance...
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The Multi-incremental Sampling Methodology in the Study of Potential Contaminated Sites
Environmental sampling of soils is carried out to monitor or characterise the concentration of substances in this environmental compartment. In...
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Groundwater sampling in karst terranes: passive sampling in comparison to event-driven sampling strategy
Karst aquifers are very easily contaminated because of the surficial features that commonly exist in karst terranes. Pollutant releases into...
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Cooperative Sampling Path Planning of Underwater Glider Fleet with Simultaneous Launch and Recovery
As low-cost and highly autonomous ocean observation platforms, underwater gliders encounter risks during their launch and recovery, especially when...
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Pressure Sampling Design for Estimating Nodal Water Demand in Water Distribution Systems
The water distribution system (WDS) hydraulic model is extensively used for design and management of WDS. The nodal water demand is the crucial...
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Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image
Probabilistic methods for geophysical inverse problems allow the use of arbitrarily complex prior information in principle. Geostatistical...
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Automatic geomorphological map** using ground truth data with coverage sampling and random forest algorithms
Marine geomorphological maps are useful to understand seafloor structure for example in the context of ecological studies, resources management or...
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On spatially correlated observations in importance sampling methods for subsidence estimation
The particle filter is a data assimilation method based on importance sampling for state and parameter estimation. We apply a particle filter in two...
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Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy
Machine-learning-based proxy models are often used to replace many of the flow simulations required in optimizations of subsurface flow processes....
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Can sampling techniques improve the performance of decomposition-based hydrological prediction models? Exploration of some comparative experiments
The development of sequence decomposition techniques in recent years has facilitated the wide use of decomposition-based prediction models in...
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Monitoring cyanobacterial blooms: a strategy combining predictive modeling and remote sensing approaches
Development of effective monitoring programs and early alert systems of cyanobacterial harmful blooms (CyanoHABs) is a challenge due to their rapid...
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Strategies for sampling pseudo-absences of landslide locations for landslide susceptibility map** in complex mountainous terrain of Northwest Himalaya
In the mountainous region of the world, landslides are a major issue that significantly impacts the socioeconomic, infrastructure, livestock, and...
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Development of a methodology for the sampling and treatment of food waste and food residues in Kara Tepe (Lesvos) refugee camp
This research focuses on the management of food waste in small communities such as the one at the Reception and Identification Center (RIC) of Kara...
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Revisiting development strategy under climate uncertainty: case study of Malawi
This paper analyzes the effectiveness of agriculture-led versus non-agriculture-led development strategies under climate-induced economic...
